class_docstr: A pytorch module that is a wrapper for FrozenCLIPEmbedder module. it enhances FrozenCLIPEmbedder, making it possible to
  have unlimited prompt length and assign weights to tokens in prompt.
code: def __init__(self, wrapped, hijack):
      super().__init__()
  
      self.wrapped = wrapped
      """Original FrozenCLIPEmbedder module; can also be FrozenOpenCLIPEmbedder or xlmr.BertSeriesModelWithTransformation,
          depending on model."""
  
      self.hijack: sd_hijack.StableDiffusionModelHijack = hijack
      self.chunk_length = 75
  
      self.is_trainable = getattr(wrapped, "is_trainable", False)
      self.input_key = getattr(wrapped, "input_key", "txt")
      self.legacy_ucg_val = None
  
imports: import math
  from collections import namedtuple
  import torch
  from modules import prompt_parser, devices, sd_hijack
  from modules.shared import opts
label_desc: Use image node_id 1 to create a new FrozenCLIPEmbedderWithCustomWordsBase object from inherited base classes: torch.nn with example: obj = FrozenCLIPEmbedderWithCustomWordsBase(wrapped, hijack)